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  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "swedish-arbitration",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "import numpy as np"
   ]
  },
  {
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   "id": "impressed-luther",
   "metadata": {},
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       "   �ͻ����  �ѷ�����  �ʲ��ɱ�  �������ʲ�����  Ʒ��  �ﳵ������  ����  ��������  \\\n",
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       "3  648134    72317   99750          73.68   76     17242    48      1995   \n",
       "4  458210    50078   65450          79.45  146     14181    45      1974   \n",
       "\n",
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      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data=pd.read_csv(\"车贷违约预测.csv\",engine=\"python\")\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ideal-mentor",
   "metadata": {},
   "outputs": [],
   "source": []
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   "execution_count": null,
   "id": "driving-wesley",
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   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "following-rhythm",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "descending-northeast",
   "metadata": {},
   "outputs": [],
   "source": []
  },
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   "cell_type": "code",
   "execution_count": null,
   "id": "measured-theology",
   "metadata": {},
   "outputs": [],
   "source": []
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   "cell_type": "code",
   "execution_count": null,
   "id": "successful-elements",
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   "outputs": [],
   "source": []
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